offline PC script added to repository

20240709SerdarModScript.py

@@ -7,6 +7,8 @@ Lightfield + Positioner
 ############################################
 # Packages from Ryan
 import re
+import math
+import threading
 import pyvisa
 # from pyvisa import ResourceManager, constants
 
@@ -31,6 +33,7 @@ from System import String
 import numpy as np
 import matplotlib.pyplot as plt
 import datetime
+from typing import Union
 
 
 #First choose your controller
@@ -162,6 +165,8 @@ def move_xy(target_x, target_y): # moving in x and y direction closed to desired
 # intensity_data = []  # To store data from each scan
 # data_list = []  
   
+
+
 def move_scan_xy(range_x, range_y, resolution, Settings, baseFileName):
     """
     This function moves the positioners to scan the sample with desired ranges and resolution in 2 dimensions.
@@ -204,7 +209,7 @@ def move_scan_xy(range_x, range_y, resolution, Settings, baseFileName):
     
     #This gives a directory, in which the script will save the spectrum of each spot as spe
     #However, it will open the spectrum, convert it to txt, add it to the intensity_data and delete the spe file
-    Path_save = "C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test"
+    temp_folder_path = "C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test"
     
     #scanning loop
     for i, x_positions in enumerate(array_x):
@@ -216,9 +221,7 @@ def move_scan_xy(range_x, range_y, resolution, Settings, baseFileName):
             #this if will make the positioner wait a bit longer to really go to the target.
             if y == False:
                 move_axis(axis_y, y_positions)
-            y = True
+            y = True                                                               
-            
-                                                                               
         
             #we acquire with the LF 
             acquire_name_spe = f'{baseFileName}_X{x_positions}_Y{y_positions}'
@@ -226,12 +229,12 @@ def move_scan_xy(range_x, range_y, resolution, Settings, baseFileName):
                         
             #read the .spe file and get the data as loaded_files
             cwd = os.getcwd() # save original directory
-            os.chdir(Path_save) #change directory
+            os.chdir(temp_folder_path) #change directory
             loaded_files = sl.load_from_files([acquire_name_spe + '.spe']) # get the .spe file as a variable
             os.chdir(cwd) # go back to original directory
             
             # Delete the created .spe file from acquiring after getting necessary info 
-            spe_file_path = os.path.join(Path_save, acquire_name_spe + '.spe')
+            spe_file_path = os.path.join(temp_folder_path, acquire_name_spe + '.spe')
             os.remove(spe_file_path)
             
             distance = calculate_distance(x_positions, y_positions,amc.move.getPosition(axis_x), amc.move.getPosition(axis_y))            
@@ -301,7 +304,8 @@ def sep_num_from_units(powerbox_output :str)->list:
     else:
         return [powerbox_output,]
 
-def query_no_echo(instr:pyvisa.resources.Resource, command:str, sleeptime=0.01)->str:
+
+def query_no_echo(instr:pyvisa.resources.Resource, command:str, sleeptime=0)->str:
     """helper function for the Attocube APS100 that queries a function to the device, removing the echo.
 
     Args:
@@ -325,7 +329,8 @@ def query_no_echo(instr:pyvisa.resources.Resource, command:str, sleeptime=0.01)-
         print(f"Error communicating with instrument: {e}")
         return None
 
-def write_no_echo(instr:pyvisa.resources.Resource, command:str, sleeptime=0.01)->str:
+
+def write_no_echo(instr:pyvisa.resources.Resource, command:str, sleeptime=0)->str:
     """helper function for the Attocube APS100 that writes a function to the device, removing the echo.
 
     Args:
@@ -351,22 +356,25 @@ def write_no_echo(instr:pyvisa.resources.Resource, command:str, sleeptime=0.01)-
     except pyvisa.VisaIOError as e:
         print(f"Error communicating with instrument: {e}")
 
-# TODO: implement the reverse scan and zero when finish functionality 
+
 # receive values in units of T, rescale in kg to talk with the power supplyy. 1T = 10kG
+# NOTE: removed singlepowersupply_bool, reading serial-nr. of the device instead.
+# old save folder: "C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test"
 def sweep_b_val(instr:pyvisa.resources.Resource, min_bval:float, max_bval:float, 
-                res:float, Settings:str, base_file_name='', path_save="C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test",
+                res:float, magnet_coil:str, Settings:str, base_file_name='',
-                singlepowersupply_bool=False, reversescan_bool=False, zerowhenfin_bool=False)->None:
+                reversescan_bool=False, zerowhenfin_bool=False, loopscan_bool=False)->None:
-    """ this function performs a sweep of the B field of the chosen magnet coil. It creates a list o B values from the given min and max values, with the given resolution. For each value, a measurement of the spectrum
+    # TODO: update docs in the end
-    of the probe in the cryostat is made, using the LightField spectrometer.
+    """ this function performs a sweep of the B field of the chosen magnet coil. It creates a list o B values from the given min and max values,
+    with the given resolution. For each value, a measurement of the spectrum of the probe in the cryostat is made, using the LightField spectrometer.
 
     Args:
         instr (pyvisa.resources.Resource): chosen power supply device to connect to
         min_bval (float): min B value of the scan (please input in units of Tesla)
         max_bval (float): max B value of the scan (please input in units of Tesla)
         res (float): resolution of the list of B values (please input in units of Tesla)
+        magnet_coil (str): select magnet coil to be used. String should be 'x-axis','y-axis' or 'z-axis'.
         Settings (str): experiment settings, included in file name.
         base_file_name (str, optional): base file name. Defaults to ''.
-        path_save (str, optional): file path where the file will be saved. Defaults to "C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test".
         singlepowersupply_bool (bool, optional): _description_. Defaults to False.
         reversescan_bool (bool, optional): _description_. Defaults to False.
         zerowhenfin_bool (bool, optional): _description_. Defaults to False.
@@ -375,31 +383,76 @@ def sweep_b_val(instr:pyvisa.resources.Resource, min_bval:float, max_bval:float,
         ValueError: when By limit is exceeded.
         ValueError: when Bz limit is exceeded.
         ValueError: when Bx limit is exceeded.
+        ConnectionError: when no device is connected.
     """    ''''''
+
+    def pyramid_list(lst) -> Union[list, np.ndarray]:
+        """reverses the list and removes the first element of reversed list. Then, this is appended to
+        the end of the original list and returned as the 'pyramid' list.
+
+        Args:
+            lst (list or np.ndarray): 
+        Raises:
+            TypeError: if the input object isn't a list or np.ndarray
+        Returns:
+            Union[list, np.ndarray]: the pyramid list
+        """    ''''''
+        if isinstance(lst, list):
+            return lst + lst[-2::-1]
+        elif isinstance(lst, np.ndarray):
+            return np.append(lst, lst[-2::-1])
+        else:
+            raise TypeError('Please input a list!')
+        
+    # defines the folder, in which the data from the spectrometer is temporarily stored in
+    temp_folder_path = "C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test"
+
+    # if path_save =='':
+    #     path_save = datetime.datetime.now().strftime("%Y_%m_%d_%H%M_hrs_")
+    
     if base_file_name =='':
         base_file_name = datetime.datetime.now().strftime('%Y_%m_%d_%H.%M')
 
-    start_time = time.time()
+    start_time = time.time()  # start of the scan function
-    instr_bsettings = list(sep_num_from_units(el) for el in query_no_echo(instr, 'UNITS?;LLIM?;ULIM?').split(';'))  # deliver a 3 element tuple of tuples containing the set unit, llim and ulim 
+
+    instr_info = query_no_echo(instr, '*IDN?')
+
+    instr_bsettings = list(sep_num_from_units(el) for el in query_no_echo(instr, 'UNITS?;LLIM?;ULIM?').split(';'))  # deliver a 3 element list of lists containing the set unit, llim and ulim 
 
     if instr_bsettings[0][0] == 'T':
         instr_bsettings[1][0] = instr_bsettings[1][0]*0.1  # rescale kG to T, device accepts values only in kG or A, eventho we set it to T
         instr_bsettings[2][0] = instr_bsettings[2][0]*0.1
 
-    if singlepowersupply_bool:  # checks limits of Bx or By
+    # if singlepowersupply_bool:  # checks limits of Bx or By
+    #     if (min_bval< -BY_MAX) or (max_bval > BY_MAX):
+    #         raise ValueError('Input limits exceed that of the magnet By! Please input smaller limits.')
+    # elif '1' in query_no_echo(instr, 'CHAN?'):  # check if its the coils for Bz
+    #     if (min_bval < -BZ_MAX) or (max_bval > BZ_MAX):
+    #         raise ValueError('Input limits exceed that of the magnet (Bz)! Please input smaller limits.')
+    # else:  # checks limits of Bx
+    #     if (min_bval< -BX_MAX) or (max_bval > BX_MAX):
+    #         raise ValueError('Input limits exceed that of the magnet Bx! Please input smaller limits.')
+ 
+    if '2101014' in instr_info and (magnet_coil=='y-axis'):  # single power supply
         if (min_bval< -BY_MAX) or (max_bval > BY_MAX):
             raise ValueError('Input limits exceed that of the magnet By! Please input smaller limits.')
-    elif '1' in query_no_echo(instr, 'CHAN?'):  # check if its the coils for Bz
+    elif '2301034' in instr_info:  # dual power supply
-        if (min_bval < -BZ_MAX) or (max_bval > BZ_MAX):
+        if magnet_coil=='z-axis':  # check if its the coils for Bz
-            raise ValueError('Input limits exceed that of the magnet (Bz)! Please input smaller limits.')
+            if (min_bval < -BZ_MAX) or (max_bval > BZ_MAX):
-    else:  # checks limits of Bx
+                raise ValueError('Input limits exceed that of the magnet (Bz)! Please input smaller limits.')
-        if (min_bval< -BX_MAX) or (max_bval > BX_MAX):
+            write_no_echo(instr, 'CHAN 1')
-            raise ValueError('Input limits exceed that of the magnet Bx! Please input smaller limits.')
+        elif magnet_coil=='x-axis':  # checks limits of Bx
+            if (min_bval< -BX_MAX) or (max_bval > BX_MAX):
+                raise ValueError('Input limits exceed that of the magnet Bx! Please input smaller limits.')
+            write_no_echo(instr, 'CHAN 2')
+    else:
+        raise ConnectionError('Device is not connected!')
 
     write_no_echo(instr, f'LLIM {min_bval*10};ULIM {max_bval*10}')  # sets the given limits, must convert to kG for the device to read
     bval_lst = np.arange(min_bval, max_bval + res, res)  # creates list of B values to measure at, with given resolution, in T
 
-    init_bval = sep_num_from_units(query_no_echo(instr, 'IMAG?'))[0]*0.1  # queries the initial B value of the coil, rescale from kG to T
+    # TODO: unused, see if can remove
+    # init_bval = sep_num_from_units(query_no_echo(instr, 'IMAG?'))[0]*0.1  # queries the initial B value of the coil, rescale from kG to T
 
     init_lim, subsequent_lim = 'LLIM', 'ULIM'
     init_sweep, subsequent_sweep = 'DOWN', 'UP'
@@ -417,24 +470,19 @@ def sweep_b_val(instr:pyvisa.resources.Resource, min_bval:float, max_bval:float,
         init_lim, subsequent_lim = subsequent_lim, init_lim
         init_sweep, subsequent_sweep = subsequent_sweep, init_sweep
 
+    # creates the pyramid list of B vals if one were to perform a hysteresis measurement 
+    if loopscan_bool:
+        bval_lst = pyramid_list(bval_lst)
+
     total_points = len(bval_lst)
+    middle_index_bval_lst = total_points // 2 
     intensity_data = []  # To store data from each scan
     cwd = os.getcwd() # save original directory
-    
-    #This gives a directory, in which the script will save the spectrum of each spot as spe
-    #However, it will open the spectrum, convert it to txt, add it to the intensity_data and delete the spe file
-    #scanning loop
-    for i, bval in enumerate(bval_lst):
 
-        # if init_bval == bval:
+    # NOTE: helper function for the scanning loop
-        #     # if initial bval is equal to the element of the given iteration from the bval_lst, then commence measuring the spectrum
+    def helper_scan_func(idx, bval, instr=instr, init_lim=init_lim, init_sweep=init_sweep,
-        #     pass
+                         subsequent_lim=subsequent_lim, subsequent_sweep=subsequent_sweep, sleep=5):
-        # else:
+        if idx == 0:  # for first iteration, sweep to one of the limits 
-
-        # TODO: improve the conditional block later on... try to shorten the number of conditionals needed/flatten the nested conditionals
-        # else, travel to the lower or higher limit, depending on how far the init val is to each bound, and commence the measurement from there on
-        # if not reversescan_bool:
-        if i == 0:  # for first iteration, sweep to one of the limits 
             write_no_echo(instr, f'{init_lim} {bval*10}')  # convert back to kG
             write_no_echo(instr, f'SWEEP {init_sweep}')
         else:
@@ -449,6 +497,40 @@ def sweep_b_val(instr:pyvisa.resources.Resource, min_bval:float, max_bval:float,
             actual_bval = sep_num_from_units(query_no_echo(instr, 'IMAG?'))[0]*0.1 
                 # update the actual bval
             print(f'Actual magnet strength: {actual_bval} T,', f'Target magnet strength: {bval} T')
+    
+    #scanning loop
+    for i, bval in enumerate(bval_lst):
+        # if init_bval == bval:
+        #     # if initial bval is equal to the element of the given iteration from the bval_lst, then commence measuring the spectrum
+        #     pass
+        # else:
+
+        # NOTE: original code without the loop scan
+        ################################################
+        # if i == 0:  # for first iteration, sweep to one of the limits 
+        #     write_no_echo(instr, f'{init_lim} {bval*10}')  # convert back to kG
+        #     write_no_echo(instr, f'SWEEP {init_sweep}')
+        # else:
+        #     write_no_echo(instr, f'{subsequent_lim} {bval*10}')  # convert back to kG
+        #     write_no_echo(instr, f'SWEEP {subsequent_sweep}')
+
+        # actual_bval = sep_num_from_units(query_no_echo(instr, 'IMAG?'))[0]*0.1  # convert kG to T
+        # print(f'Actual magnet strength: {actual_bval} T,', f'Target magnet strength: {bval} T')
+
+        # while abs(actual_bval - bval) > 0.0001:
+        #     time.sleep(5)  # little break
+        #     actual_bval = sep_num_from_units(query_no_echo(instr, 'IMAG?'))[0]*0.1 
+        #         # update the actual bval
+        #     print(f'Actual magnet strength: {actual_bval} T,', f'Target magnet strength: {bval} T')
+        ###############################################
+        if not loopscan_bool:
+            helper_scan_func(i, bval)
+        else:
+            if i <= middle_index_bval_lst:
+                helper_scan_func(i, bval)
+            else:
+                helper_scan_func(i, bval, instr=instr, init_lim=subsequent_lim, init_sweep=subsequent_sweep,
+                            subsequent_lim=init_lim, subsequent_sweep=init_sweep, sleep=5)
         
         time.sleep(5)
         # we acquire with the LF 
@@ -457,12 +539,12 @@ def sweep_b_val(instr:pyvisa.resources.Resource, min_bval:float, max_bval:float,
                     
         # read the .spe file and get the data as loaded_files
         cwd = os.getcwd() # save original directory
-        os.chdir(path_save) #change directory
+        os.chdir(temp_folder_path) #change directory
         loaded_files = sl.load_from_files([acquire_name_spe + '.spe']) # get the .spe file as a variable
         os.chdir(cwd) # go back to original directory
         
         # Delete the created .spe file from acquiring after getting necessary info 
-        spe_file_path = os.path.join(path_save, acquire_name_spe + '.spe')
+        spe_file_path = os.path.join(temp_folder_path, acquire_name_spe + '.spe')
         os.remove(spe_file_path)    
                                                         
         points_left = total_points - i - 1  # TODO: SEE IF THIS IS CORRECT
@@ -476,6 +558,8 @@ def sweep_b_val(instr:pyvisa.resources.Resource, min_bval:float, max_bval:float,
     elapsed_time = (end_time - start_time) / 60
     print('Scan time: ', elapsed_time, 'minutes')
 
+    write_no_echo(instr, f'LLIM {instr_bsettings[1][0]*10};ULIM {instr_bsettings[2][0]*10}')  # reset the initial limits of the device after the scan
+
     if zerowhenfin_bool:
         write_no_echo(instr, 'SWEEP ZERO')  # if switched on, discharges the magnet after performing the measurement loop above
     
@@ -495,6 +579,279 @@ def sweep_b_val(instr:pyvisa.resources.Resource, min_bval:float, max_bval:float,
     np.savetxt("Wavelength.txt", wl)
 
 
+def polar_to_cartesian(radius, start_angle, end_angle, step_size, clockwise=True):
+    # TODO: DOCS
+    """Creates a list of discrete cartesian coordinates (x,y), given the radius, start- and end angles, the angle step size, and the direction of rotation. 
+    Function then returns a list of two lists: list of angles and list of cartesian coordinates (x,y coordinates in a tuple).
+
+    Args:
+        radius (_type_): _description_
+        start_angle (_type_): _description_
+        end_angle (_type_): _description_
+        step_size (_type_): _description_
+        clockwise (bool, optional): _description_. Defaults to True.
+
+    Returns:
+        _type_: _description_
+    """    """"""
+    # Initialize lists to hold angles and (x, y) pairs
+    angles = []
+    coordinates = []
+
+    # Normalize angles to the range [0, 360)
+    start_angle = start_angle % 360
+    end_angle = end_angle % 360
+
+    if clockwise:
+        # Clockwise rotation
+        current_angle = start_angle
+        while True:
+            # Append the current angle to the angles list
+            angles.append(current_angle % 360)
+
+            # Convert the current angle to radians
+            current_angle_rad = math.radians(current_angle % 360)
+            
+            # Convert polar to Cartesian coordinates
+            x = radius * math.cos(current_angle_rad)
+            y = radius * math.sin(current_angle_rad)
+            
+            # Append the (x, y) pair to the list
+            coordinates.append((x, y))
+
+            # Check if we've reached the end_angle (handling wrap-around)  (current_angle - step_size) % 360 == end_angle or
+            if current_angle % 360 == end_angle:
+                break
+
+            # Decrement the current angle by the step size
+            current_angle -= step_size
+            if current_angle < 0:
+                current_angle += 360
+    else:
+        # Counterclockwise rotation
+        current_angle = start_angle
+        while True:
+            # Append the current angle to the angles list
+            angles.append(current_angle % 360)
+
+            # Convert the current angle to radians
+            current_angle_rad = math.radians(current_angle % 360)
+            
+            # Convert polar to Cartesian coordinates
+            x = radius * math.cos(current_angle_rad)
+            y = radius * math.sin(current_angle_rad)
+            
+            # Append the (x, y) pair to the list
+            coordinates.append((x, y))
+
+            # Check if we've reached the end_angle (handling wrap-around)  (current_angle + step_size) % 360 == end_angle or
+            if current_angle % 360 == end_angle:
+                break
+
+            # Increment the current angle by the step size
+            current_angle += step_size
+            if current_angle >= 360:
+                current_angle -= 360
+
+    return [angles, coordinates]
+
+
+def b_field_rotation(instr1:pyvisa.resources.Resource, instr2:pyvisa.resources.Resource,
+                     Babs:float, startangle:float, endangle:float, angle_stepsize:float, Settings:str, clockwise=True, base_file_name='', zerowhenfin_bool=False)->None:
+    # TODO: update docs
+    """Rotation of the b-field in discrete steps, spectrum is measured at each discrete step in the rotation. Scan angle is 
+    defined as the angle between the x-axis and the current B-field vector, i.e., in the anticlockwise direction.
+
+    Args:
+        instr1 (pyvisa.resources.Resource): _description_
+        instr2 (pyvisa.resources.Resource): _description_
+        Babs (float): absolute B-field value in T
+        startangle (float): start angle in degrees
+        endangle (float): end angle in degrees
+        angle_stepsize (float): angle step size in degrees
+        clockwise (bool): determines the direction of rotation of the B-field. Defaults to True.
+        zerowhenfin_bool (bool, optional): after finishing the rotation, both B-field components should be set to 0 T. Defaults to False.
+    """
+
+    # TODO: possibly rename instr1 and instr2 to the dual and single power supplies respectively??
+    
+    # defines the folder, in which the data from the spectrometer is temporarily stored in
+    temp_folder_path = "C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test"   
+
+    if base_file_name =='':
+        base_file_name = datetime.datetime.now().strftime('%Y_%m_%d_%H.%M')
+
+    start_time = time.time()  # start of the scan function
+
+    startangle = startangle % 360
+    endangle = endangle % 360  # ensures that the angles are within [0,360)
+
+    idnstr1 = query_no_echo(instr1, '*IDN?')
+    idnstr2 = query_no_echo(instr1, '*IDN?')
+
+    intensity_data = []  # To store data from each scan
+    cwd = os.getcwd() # save original directory
+
+    # find which one is the dual power supply, then, ramp B_x to Babs value
+    if '2301034' in idnstr1: # serial no. the dual power supply
+        pass
+    elif '2101034' in idnstr2:
+        # swap instruments, instr 1 to be the dual power supply (^= x-axis)
+        instr1, instr2 = instr2, instr1
+    
+    # save initial low and high sweep limits of each device, and set them back after the rotation 
+    instr1_bsettings = list(sep_num_from_units(el) for el in query_no_echo(instr1, 'UNITS?;LLIM?;ULIM?').split(';'))  # deliver a 3 element tuple of tuples containing the set unit, llim and ulim 
+    instr2_bsettings = list(sep_num_from_units(el) for el in query_no_echo(instr2, 'UNITS?;LLIM?;ULIM?').split(';'))  # deliver a 3 element tuple of tuples containing the set unit, llim and ulim 
+    if instr1_bsettings[0][0] == 'T':
+        instr1_bsettings[1][0] = instr1_bsettings[1][0]*0.1  # rescale kG to T, device accepts values only in kG or A, eventho we set it to T
+        instr1_bsettings[2][0] = instr1_bsettings[2][0]*0.1
+    if instr2_bsettings[0][0] == 'T':
+        instr2_bsettings[1][0] = instr2_bsettings[1][0]*0.1  # rescale kG to T, device accepts values only in kG or A, eventho we set it to T
+        instr2_bsettings[2][0] = instr2_bsettings[2][0]*0.1
+
+    # initialise the sweep angle list as well as the sweep limits and directions for each instrument
+    instr1_lim, instr2_lim = 'LLIM', 'ULIM'
+    instr1_sweep, instr2_sweep = 'DOWN', 'UP'
+
+    # create lists of angles and discrete Cartesian coordinates
+    angles, cartesian_coords = polar_to_cartesian(Babs, startangle, endangle, angle_stepsize, clockwise=clockwise)
+
+    if clockwise:  # NOTE: old conditional was:  startangle > endangle      see if this works....
+        # reverse sweep limits and directions for the clockwise rotation
+        instr1_lim, instr2_lim = instr2_lim, instr1_lim
+        instr1_sweep, instr2_sweep = instr2_sweep, instr1_sweep
+
+    # list of rates (with units) for diff ranges of each device, only up to Range 1 for single power supply as that is already
+    # the max recommended current. 
+    init_range_lst1 = list(sep_num_from_units(el) for el in query_no_echo(instr1, 'RATE? 0;RATE? 1;RATE? 2').split(';'))
+    init_range_lst2 = list(sep_num_from_units(el) for el in query_no_echo(instr2, 'RATE? 0;RATE? 1').split(';'))
+
+    min_range_lst = [min(el1[0], el2[0]) for el1,el2 in zip(init_range_lst1, init_range_lst2)]  # min rates for each given range
+
+    # set both devices to the min rates
+    write_no_echo(instr1, f'RATE 0 {min_range_lst[0]};RATE 1 {min_range_lst[1]}')
+    write_no_echo(instr2, f'RATE 0 {min_range_lst[0]};RATE 1 {min_range_lst[1]}')
+
+    write_no_echo(instr1, f'CHAN 2;ULIM {Babs*10};SWEEP UP')  # sets to B_x, the B_x upper limit and sweeps the magnet field to the upper limit
+    print(f'SWEEPING B-X TO {Babs} T NOW')
+
+    # wait for Babs to be reached by the Bx field
+    actual_bval = sep_num_from_units(query_no_echo(instr1, 'IMAG?'))[0]*0.1  # convert kG to T
+    print(f'Actual magnet strength (Bx): {actual_bval} T,', f'Target magnet strength: {Babs} T')
+    while abs(actual_bval - Babs) > 0.0001:
+        time.sleep(5)  # little break
+        actual_bval = sep_num_from_units(query_no_echo(instr1, 'IMAG?'))[0]*0.1 
+        print(f'Actual magnet strength (Bx): {actual_bval} T,', f'Target magnet strength: {Babs} T')
+
+    # NOTE: implement PID control, possibly best option to manage the b field DO THIS LATER ON, WE DO DISCRETE B VALUES RN
+    # Helper function that listens to a device
+    def listen_to_device(device_id, target_value, shared_values, lock, all_targets_met_event):
+        while not all_targets_met_event.is_set():  # Loop until the event is set
+            # value = 0  # Simulate receiving a float from the device  INSERT QUERY NO ECHO HERE TO ASK FOR DEVICE IMAG
+            if '2301034' in device_id:
+                value = sep_num_from_units(query_no_echo(instr1, 'IMAG?'))[0]*0.1  # convert kG to T
+            elif '2101014' in device_id:
+                value = sep_num_from_units(query_no_echo(instr2, 'IMAG?'))[0]*0.1  # convert kG to T
+            print(f"Device {device_id} reports value: {value} T")
+            
+            with lock:
+                shared_values[device_id] = value
+                # Check if both devices have met their targets
+                if all(shared_values.get(device) is not None and abs(shared_values[device] - target_value[device]) <= 0.0001
+                    for device in shared_values):
+                    print(f"Both devices reached their target values: {shared_values}")
+                    all_targets_met_event.set()  # Signal that both targets are met
+
+            # time.sleep(1)  # Simulate periodic data checking
+
+    # Main function to manage threads and iterate over target values
+    def monitor_devices(device_target_values, angles_lst, intensity_data=intensity_data):  
+        for iteration, target in enumerate(device_target_values):
+            print(f"\nStarting iteration {iteration+1} for target values: {target}")
+            # Shared dictionary to store values from devices
+            shared_values = {device: None for device in target.keys()}
+            # Event to signal when both target values are reached
+            all_targets_met_event = threading.Event()
+
+            # Lock to synchronize access to shared_values
+            lock = threading.Lock()
+
+            # Create and start threads for each device
+            threads = []
+            for device_id in target.keys():
+                thread = threading.Thread(target=listen_to_device, args=(device_id, target, shared_values, lock, all_targets_met_event))
+                threads.append(thread)
+                thread.start()
+
+            # Wait until both devices meet their target values
+            all_targets_met_event.wait()
+            print(f"Both target values for iteration {iteration+1} met. Performing action...")
+
+            # Perform some action after both targets are met 
+            # we acquire with the LF 
+            acquire_name_spe = f'{base_file_name}_{angles_lst[iteration]}°'  # NOTE: save each intensity file with the given angle
+            AcquireAndLock(acquire_name_spe) #this creates a .spe file with the scan name.
+                        
+            # read the .spe file and get the data as loaded_files
+            cwd = os.getcwd() # save original directory
+            os.chdir(temp_folder_path) #change directory
+            loaded_files = sl.load_from_files([acquire_name_spe + '.spe']) # get the .spe file as a variable
+            os.chdir(cwd) # go back to original directory
+            
+            # Delete the created .spe file from acquiring after getting necessary info 
+            spe_file_path = os.path.join(temp_folder_path, acquire_name_spe + '.spe')
+            os.remove(spe_file_path)    
+                                                            
+            # points_left = total_points - i - 1  # TODO: SEE IF THIS IS CORRECT
+            # print('Points left in the scan: ', points_left)
+            
+            #append the intensity data as it is (so after every #of_wl_points, the spectrum of the next point begins)
+            intensity_data.append(loaded_files.data[0][0][0])
+
+            # Clean up threads
+            for thread in threads:
+                thread.join()
+
+            print(f"Threads for iteration {iteration+1} closed.\n")
+        
+        #prints total time the mapping lasted
+        end_time = time.time()
+        elapsed_time = (end_time - start_time) / 60
+        print('Scan time: ', elapsed_time, 'minutes')
+
+        # reset both devices to original sweep limits
+        write_no_echo(instr1, f'LLIM {instr1_bsettings[1][0]*10};ULIM {instr1_bsettings[2][0]*10}')  # reset the initial limits of the device after the scan
+        write_no_echo(instr2, f'LLIM {instr2_bsettings[1][0]*10};ULIM {instr2_bsettings[2][0]*10}')  # reset the initial limits of the device after the scan
+        # reset both devices' initial rates for each range
+        write_no_echo(instr1, f'RANGE 0 {init_range_lst1[0][0]};RANGE 1 {init_range_lst1[1][0]};RANGE 2 {init_range_lst1[2][0]}')  # reset the initial limits of the device after the scan
+        write_no_echo(instr2, f'RANGE 0 {init_range_lst2[0][0]};RANGE 1 {init_range_lst2[1][0]}')  # reset the initial limits of the device after the scan
+
+        if zerowhenfin_bool:
+            write_no_echo(instr1, 'SWEEP ZERO')  # if switched on, discharges the magnet after performing the measurement loop above
+            write_no_echo(instr2, 'SWEEP ZERO')  
+        
+        #save intensity & WL data as .txt
+        os.chdir('C:/Users/localadmin/Desktop/Users/Lukas')
+        # creates new folder for MAP data
+        new_folder_name = "Test_Map_" + f"{datetime.datetime.now().strftime('%Y_%m_%d_%H.%M')}"
+        os.mkdir(new_folder_name)
+        # Here the things will be saved in a new folder under user Lukas !
+        # IMPORTANT last / has to be there, otherwise data cannot be saved and will be lost!!!!!!!!!!!!!!!!
+        os.chdir('C:/Users/localadmin/Desktop/Users/Lukas/'+ new_folder_name)
+        
+        intensity_data = np.array(intensity_data) 
+        np.savetxt(Settings + f'{angles[0]}°_to_{angles[-1]}°' + experiment_name +'.txt', intensity_data)
+        # TODO: remove/edit experiment_name in line above, as well in sweep_b_val func, rn takes a global variable below 
+                
+        wl = np.array(loaded_files.wavelength)
+        np.savetxt("Wavelength.txt", wl)
+
+    # modify cartesian_coords to suite the required data struct in monitor_devices 
+    cartesian_coords = [{'2301034': t[0], '2101014': t[1]} for t in cartesian_coords]
+
+    # call the helper function to carry out the rotation/measurement of spectrum
+    monitor_devices(cartesian_coords, angles, intensity_data)
+
 
 ################################################################# END OF FUNCTION DEFS ###########################################################################################  
 
@@ -502,20 +859,33 @@ def sweep_b_val(instr:pyvisa.resources.Resource, min_bval:float, max_bval:float,
 
 # Initialise PYVISA ResourceManager
 rm = pyvisa.ResourceManager()
-# print(rm.list_resources())  # 'ASRL8::INSTR' for dual power supply, 'ASRL9::INSTR' for single power supply
+# print(rm.list_resources())  
+# 'ASRL8::INSTR' for dual power supply, 'ASRL9::INSTR' for single power supply (online PC)
+# 'ASRL10::INSTR' for dual power supply, 'ASRL12::INSTR' for single power supply (offline PC)
+
 
 # Open the connection with the APS100 dual power supply
-powerbox_dualsupply = rm.open_resource('ASRL8::INSTR', 
+powerbox_dualsupply = rm.open_resource('ASRL10::INSTR', 
-                                        baud_rate=9600,         # Example baud rate, adjust as needed
+                                        baud_rate=9600,
                                         data_bits=8, 
                                         parity= pyvisa.constants.Parity.none, 
                                         stop_bits= pyvisa.constants.StopBits.one, 
-                                        timeout=5000)# 5000 ms timeout
+                                        timeout=100)# 5000 ms timeout
+
+# Open the connection with the APS100 dual power supply
+powerbox_singlesupply = rm.open_resource('ASRL12::INSTR',
+                                        baud_rate=9600,
+                                        data_bits=8, 
+                                        parity= pyvisa.constants.Parity.none, 
+                                        stop_bits= pyvisa.constants.StopBits.one, 
+                                        timeout=100)# 5000 ms timeout
 
 write_no_echo(powerbox_dualsupply, 'REMOTE')  # turn on the remote mode
+write_no_echo(powerbox_singlesupply, 'REMOTE')  # turn on the remote mode
 
+# TODO: test functionality of the magnet_coil param later on, should work... as this code below is basically implemented inside the scan func.
 # select axis for the dual supply, either z-axis(CHAN 1 ^= Supply A) or x-axis(CHAN 2 ^= Supply B)
-write_no_echo(powerbox_dualsupply, 'CHAN 1')
+# write_no_echo(powerbox_dualsupply, 'CHAN 1')
 
 # Setup connection to AMC
 amc = AMC.Device(IP)
@@ -550,21 +920,18 @@ experiment_settings = 'PL_SP_700_LP_700_HeNe_52muW_exp_2s_Start_'
 #The program adds the range of the scan as well as the resolution and the date and time of the measurement
 experiment_name = f"{set_llim_bval}T_to_{set_ulim_bval}T_{set_res_bval}T_{datetime.datetime.now().strftime('%Y_%m_%d_%H%M')}"
 
-# # TODO: write the bval scan here
-# for idx, bval in enumerate(bval_lst):
-#     write_no_echo(powerbox_dualsupply, '')
-
 # this moves the probe in xy-direction and measures spectrum there
 # move_scan_xy(range_x, range_y, resolution, experiment_settings, experiment_name)
 
 # perform the B-field measurement for selected axis above
 # sweep_b_val(powerbox_dualsupply, set_llim_bval, set_ulim_bval, set_res_bval, experiment_settings, experiment_name)
-sweep_b_val(powerbox_dualsupply, set_llim_bval, set_ulim_bval, set_res_bval, 
+sweep_b_val(powerbox_dualsupply, set_llim_bval, set_ulim_bval, set_res_bval, 'z-axis',
-            experiment_settings, experiment_name, singlepowersupply_bool=False, zerowhenfin_bool=True, reversescan_bool=False)
+            experiment_settings, experiment_name, zerowhenfin_bool=True, reversescan_bool=False)
 
 # Internally, axes are numbered 0 to 2
 
 write_no_echo(powerbox_dualsupply, 'LOCAL')  # turn off the remote mode
+write_no_echo(powerbox_singlesupply, 'LOCAL')  # turn off the remote mode
 # time.sleep(0.5)
 powerbox_dualsupply.close()
-
+powerbox_singlesupply.close()

AttocubePowerboxScript.py

@@ -0,0 +1,935 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Dec 22 15:10:10 2023
+Lightfield + Positioner 
+@author: Serdar, adjusted by Lukas
+"""
+############################################
+# Packages from Ryan
+import re
+import math
+import threading
+import pyvisa
+# from pyvisa import ResourceManager, constants
+
+# B Field Limits (in T)
+BX_MAX = 1.7
+BY_MAX = 1.7
+BZ_MAX = 4.0
+############################################
+
+import AMC
+import csv
+import time
+import clr
+import sys
+import os
+import spe2py as spe
+import spe_loader as sl
+import pandas as pd
+import time
+from System.IO import *
+from System import String
+import numpy as np
+import matplotlib.pyplot as plt
+import datetime
+from typing import Union
+
+
+#First choose your controller
+IP_AMC300 = "192.168.1.1"
+IP_AMC100 = "192.168.71.100"
+
+# IP = "192.168.1.1"
+IP = IP_AMC100
+
+
+# Import os module
+import os, glob, string
+
+# Import System.IO for saving and opening files
+from System.IO import *
+
+from System.Threading import AutoResetEvent
+
+# Import C compatible List and String
+from System import String
+from System.Collections.Generic import List
+
+# Add needed dll references
+sys.path.append(os.environ['LIGHTFIELD_ROOT'])
+sys.path.append(os.environ['LIGHTFIELD_ROOT']+"\\AddInViews")
+sys.path.append(r'C:\Program Files\Princeton Instruments\LightField\AddInViews')  #I added them by hand -serdar
+sys.path.append(r'C:\Program Files\Princeton Instruments\LightField')           #this one also
+clr.AddReference('PrincetonInstruments.LightFieldViewV5')
+clr.AddReference('PrincetonInstruments.LightField.AutomationV5')
+clr.AddReference('PrincetonInstruments.LightFieldAddInSupportServices')
+os.environ['LIGHTFIELD_ROOT'] = r'C:\Program Files\Princeton Instruments\LightField'
+# PI imports
+from PrincetonInstruments.LightField.Automation import Automation
+from PrincetonInstruments.LightField.AddIns import ExperimentSettings
+from PrincetonInstruments.LightField.AddIns import CameraSettings
+#from PrincetonInstruments.LightField.AddIns import DeviceType
+from PrincetonInstruments.LightField.AddIns import SpectrometerSettings
+from PrincetonInstruments.LightField.AddIns import RegionOfInterest
+
+######################################################################################################### code begins from here #############################################
+
+def set_custom_ROI():
+    
+    # Get device full dimensions
+    dimensions = experiment.FullSensorRegion()
+        
+    regions = []
+    
+    # Add two ROI to regions
+    regions.append(
+      RegionOfInterest(
+          int(dimensions.X), int(dimensions.Y),
+          int(dimensions.Width), int(dimensions.Height//4),  # Use // for integer division
+          int(dimensions.XBinning), int(dimensions.Height//4)))
+  
+    
+
+    # Set both ROI
+    experiment.SetCustomRegions(regions)
+    
+def experiment_completed(sender, event_args): #callback function which is hooked to event completed, this is the listener
+    print("... Acquisition Complete!")
+    acquireCompleted.Set() #set the event. This puts the autoresetevent false.(look at .NET library for furher info)
+
+def InitializerFilenameParams():
+    experiment.SetValue(ExperimentSettings.FileNameGenerationAttachIncrement, False)
+    experiment.SetValue(ExperimentSettings.FileNameGenerationIncrementNumber, 1.0)
+    experiment.SetValue(ExperimentSettings.FileNameGenerationIncrementMinimumDigits, 2.0)
+    experiment.SetValue(ExperimentSettings.FileNameGenerationAttachDate, False)
+    experiment.SetValue(ExperimentSettings.FileNameGenerationAttachTime, False)
+    
+def AcquireAndLock(name):
+    print("Acquiring...", end = "")
+    # name += 'Exp{0:06.2f}ms.CWL{1:07.2f}nm'.format(\
+                                                   # experiment.GetValue(CameraSettings.ShutterTimingExposureTime)\
+                                                   # ,experiment.GetValue(SpectrometerSettings.GratingCenterWavelength))
+                                                   
+    experiment.SetValue(ExperimentSettings.FileNameGenerationBaseFileName, name) #this creates .spe file with the name
+    experiment.Acquire() # this is an ashynrchronus func. 
+    acquireCompleted.WaitOne()  
+    
+def calculate_distance(x1, y1, x2, y2):
+    return np.sqrt((x2 - x1)**2 + (y2 - y1)**2)    
+
+def generate_scan_positions(center, range_val, resolution):
+    positive_range = np.arange(center, center + range_val + resolution, resolution)   
+    return positive_range
+
+def save_as_csv(filename, position_x, position_y):
+    file_existance = os.path.isfile(filename)    
+    
+    with open(filename, 'a', newline = '') as csvfile:
+        writer = csv.writer(csvfile)
+        
+        if not file_existance:
+            writer.writerow(['x_coordinates','y_coordinates'])
+            
+        writer.writerow([position_x, position_y])
+                       
+def move_axis(axis, target): 
+    """
+    This function moves an axis to the specified target and stop moving after it is in the really closed
+    vicinity (+- 25nm) of the target (listener hooked to it).
+    """
+    amc.move.setControlTargetPosition(axis, target)
+    amc.control.setControlMove(axis, True)
+    while not (target - 25) < amc.move.getPosition(axis) < (target + 25):
+        time.sleep(0.1)
+    time.sleep(0.15)
+    while not (target - 25) < amc.move.getPosition(axis) < (target + 25):
+        time.sleep(0.1)              
+    amc.control.setControlMove(axis, False)
+    
+def move_xy(target_x, target_y): # moving in x and y direction closed to desired position
+    amc.move.setControlTargetPosition(0, target_x)
+    amc.control.setControlMove(0, True)
+    amc.move.setControlTargetPosition(1, target_y)
+    amc.control.setControlMove(1, True)
+    while not (target_x - 25) < amc.move.getPosition(0) < (target_x + 25) and (target_y - 25) < amc.move.getPosition(1) < (target_y + 25):
+        time.sleep(0.1)
+    time.sleep(0.15)
+    while not (target_x - 25) < amc.move.getPosition(0) < (target_x + 25) and (target_y - 25) < amc.move.getPosition(1) < (target_y + 25):
+        time.sleep(0.1)
+    
+    amc.control.setControlOutput(0, False)
+    amc.control.setControlOutput(1, False)
+  
+  
+# intensity_data = []  # To store data from each scan
+# data_list = []  
+
+def move_scan_xy(range_x, range_y, resolution, Settings, baseFileName):
+    """
+    This function moves the positioners to scan the sample with desired ranges and resolution in 2 dimensions.
+    At the end it saves a csv file 
+
+    Parameters
+    ----------
+    range_x : integer in nm. max value is 5um
+        Scan range in x direction.
+    range_y : integer in nm. max value is 5um
+        Scan range in y direction.
+    resolution : integer in nm. 
+        Room temprature max res is 50nm. In cyrostat (4K) it is 10nm (check the Attocube manual)
+    baseFileName: string. At the end the saved file will be: baseFileName_scan_data.csv and it will be saved to the current directory
+
+    Returns
+    -------
+    None.
+
+    """
+    start_time = time.time()
+    axis_x = 0 #first axis 
+    axis_y = 1 #second axis
+    center_x =  amc.move.getPosition(axis_x)
+    center_y =  amc.move.getPosition(axis_y)
+    # #check if the intput range is reasonable
+    # if amc.move.getPosition(axis_x) + range_x >= 5000 or amc.move.getPosition(axis_x)- range_x <= 0 or amc.move.getPosition(axis_y) + range_y >=5000 or amc.move.getPosition(axis_y) - range_y <= 5000 :
+    #     print("scan range is out of range!")
+    #     return
+    # +- range from current positions for x and y directions
+    
+    
+    array_x = generate_scan_positions(center_x, range_x, resolution)
+    array_y = generate_scan_positions(center_y, range_y, resolution)
+    total_points = len(array_x)*len(array_y)
+    len_y = len(array_y)
+    intensity_data = []  # To store data from each scan
+    data_list = []
+    cwd = os.getcwd() # save original directory
+    
+    #This gives a directory, in which the script will save the spectrum of each spot as spe
+    #However, it will open the spectrum, convert it to txt, add it to the intensity_data and delete the spe file
+    temp_folder_path = "C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test"
+    
+    #scanning loop
+    for i, x_positions in enumerate(array_x):
+        move_axis(axis_x, x_positions)
+        y = False
+        for j, y_positions in enumerate(array_y):
+            move_axis(axis_y, y_positions)
+            #each time when the positioner comes to the beggining of a new line
+            #this if will make the positioner wait a bit longer to really go to the target.
+            if y == False:
+                move_axis(axis_y, y_positions)
+            y = True                                                               
+        
+            #we acquire with the LF 
+            acquire_name_spe = f'{baseFileName}_X{x_positions}_Y{y_positions}'
+            AcquireAndLock(acquire_name_spe) #this creates a .spe file with the scan name.
+                        
+            #read the .spe file and get the data as loaded_files
+            cwd = os.getcwd() # save original directory
+            os.chdir(temp_folder_path) #change directory
+            loaded_files = sl.load_from_files([acquire_name_spe + '.spe']) # get the .spe file as a variable
+            os.chdir(cwd) # go back to original directory
+            
+            # Delete the created .spe file from acquiring after getting necessary info 
+            spe_file_path = os.path.join(temp_folder_path, acquire_name_spe + '.spe')
+            os.remove(spe_file_path)
+            
+            distance = calculate_distance(x_positions, y_positions,amc.move.getPosition(axis_x), amc.move.getPosition(axis_y))            
+                                                          
+            points_left = total_points - (i * len_y + (j+1)) + 1
+            print('Points left in the scan: ', points_left)
+            
+            #append the intensity data as it is (so after every #of_wl_points, the spectrum of the next point begins)
+            intensity_data.append(loaded_files.data[0][0][0])
+            
+            data_list.append({
+                 'position_x': x_positions,
+                 'position_y': y_positions,
+                 'actual_x': amc.move.getPosition(axis_x),
+                 'actual_y': amc.move.getPosition(axis_y),
+                 'distance': distance,                
+            })
+  
+    #moves back to starting position
+    move_axis(axis_x, center_x)     
+    move_axis(axis_y, center_y)  
+    
+    #prints total time the mapping lasted
+    end_time = time.time()
+    elapsed_time = (end_time - start_time) / 60
+    print('Scan time: ', elapsed_time, 'minutes')
+    
+    # df = pd.DataFrame(data_list)
+    
+    #save intensity & WL data as .txt
+    os.chdir('C:/Users/localadmin/Desktop/Users/Lukas')
+    # creates new folder for MAP data
+    new_folder_name = "Test_Map_" + f"{datetime.datetime.now().strftime('%Y_%m_%d_%H.%M')}"
+    os.mkdir(new_folder_name)
+    # Here the things will be saved in a new folder under user Lukas !
+    # IMPORTANT last / has to be there, otherwise data cannot be saved and will be lost!!!!!!!!!!!!!!!!
+    os.chdir('C:/Users/localadmin/Desktop/Users/Lukas/'+ new_folder_name)
+    
+    intensity_data = np.array(intensity_data) 
+    np.savetxt(Settings + str(center_x) + '_' + str(center_y) + experiment_name +'.txt', intensity_data)
+            
+    wl = np.array(loaded_files.wavelength)
+    np.savetxt("Wavelength.txt", wl)
+
+################################################################# RYAN'S FUNCTIONS HERE ##########################################################################################
+
+def sep_num_from_units(powerbox_output :str)->list:
+    '''
+    Receives a string as input and separates the numberic value and unit and returns it as a list.
+    
+    Parameters
+    ----------
+    powerbox_output : str
+        string output from the attocube powerbox, e.g. 1.35325kG
+
+    Returns
+    -------
+    list
+        list of float value and string (b value and it's units). If string is purely alphabets, then return a single element list
+
+    '''
+    match = re.match(r'\s*([+-]?\d*\.?\d+)([A-Za-z]+)', powerbox_output)
+    if match:
+        numeric_part = float(match.group(1))  # Convert the numeric part to a float
+        alphabetic_part = match.group(2)  # Get the alphabetic part
+        return [numeric_part, alphabetic_part]
+    else:
+        return [powerbox_output,]
+
+
+def query_no_echo(instr:pyvisa.resources.Resource, command:str, sleeptime=0)->str:
+    """helper function for the Attocube APS100 that queries a function to the device, removing the echo.
+
+    Args:
+        instr (pyvisa.resources.Resource): 
+        command (str): commands, can be stringed in series with ; between commands
+        sleeptime (float, optional): delay time between commands. Defaults to 0.01.
+
+    Returns:
+        str: _description_
+    """    ''''''
+    try:
+        print(f"Sending command: {command}")
+        instr.write(command)
+        time.sleep(sleeptime)
+        echo_response = instr.read()  # Read and discard the echo
+        # print(f"Echo response: {echo_response}")
+        actual_response = instr.read()  # Read the actual response
+        print(f"Actual response: {actual_response}")
+        return actual_response
+    except pyvisa.VisaIOError as e:
+        print(f"Error communicating with instrument: {e}")
+        return None
+
+
+def write_no_echo(instr:pyvisa.resources.Resource, command:str, sleeptime=0)->str:
+    """helper function for the Attocube APS100 that writes a function to the device, removing the echo.
+
+    Args:
+        instr (pyvisa.resources.Resource): 
+        command (str): commands, can be stringed in series with ; between commands
+        sleeptime (float, optional): delay time between commands. Defaults to 0.01.
+
+    Returns:
+        str: _description_
+    """    ''''''
+    try:
+        print(f"Sending command: {command}")
+        instr.write(command)
+        time.sleep(sleeptime)  # Give the device some time to process
+        try:
+            while True:
+                echo_response = instr.read()  # Read and discard the echo
+                # print(f"Echo response: {echo_response}")
+        except pyvisa.VisaIOError as e:
+            # Expected timeout after all echoed responses are read
+            if e.error_code != pyvisa.constants.VI_ERROR_TMO:
+                raise
+    except pyvisa.VisaIOError as e:
+        print(f"Error communicating with instrument: {e}")
+
+
+# receive values in units of T, rescale in kg to talk with the power supplyy. 1T = 10kG
+# NOTE: removed singlepowersupply_bool, reading serial-nr. of the device instead.
+# old save folder: "C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test"
+def sweep_b_val(instr:pyvisa.resources.Resource, min_bval:float, max_bval:float, 
+                res:float, magnet_coil:str, Settings:str, base_file_name='',
+                reversescan_bool=False, zerowhenfin_bool=False, loopscan_bool=False)->None:
+    # TODO: update docs in the end
+    """ this function performs a sweep of the B field of the chosen magnet coil. It creates a list o B values from the given min and max values,
+    with the given resolution. For each value, a measurement of the spectrum of the probe in the cryostat is made, using the LightField spectrometer.
+
+    Args:
+        instr (pyvisa.resources.Resource): chosen power supply device to connect to
+        min_bval (float): min B value of the scan (please input in units of Tesla)
+        max_bval (float): max B value of the scan (please input in units of Tesla)
+        res (float): resolution of the list of B values (please input in units of Tesla)
+        magnet_coil (str): select magnet coil to be used. String should be 'x-axis','y-axis' or 'z-axis'.
+        Settings (str): experiment settings, included in file name.
+        base_file_name (str, optional): base file name. Defaults to ''.
+        singlepowersupply_bool (bool, optional): _description_. Defaults to False.
+        reversescan_bool (bool, optional): _description_. Defaults to False.
+        zerowhenfin_bool (bool, optional): _description_. Defaults to False.
+
+    Raises:
+        ValueError: when By limit is exceeded.
+        ValueError: when Bz limit is exceeded.
+        ValueError: when Bx limit is exceeded.
+        ConnectionError: when no device is connected.
+    """    ''''''
+
+    def pyramid_list(lst) -> Union[list, np.ndarray]:
+        """reverses the list and removes the first element of reversed list. Then, this is appended to
+        the end of the original list and returned as the 'pyramid' list.
+
+        Args:
+            lst (list or np.ndarray): 
+        Raises:
+            TypeError: if the input object isn't a list or np.ndarray
+        Returns:
+            Union[list, np.ndarray]: the pyramid list
+        """    ''''''
+        if isinstance(lst, list):
+            return lst + lst[-2::-1]
+        elif isinstance(lst, np.ndarray):
+            return np.append(lst, lst[-2::-1])
+        else:
+            raise TypeError('Please input a list!')
+        
+    # defines the folder, in which the data from the spectrometer is temporarily stored in
+    temp_folder_path = "C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test"
+
+    # if path_save =='':
+    #     path_save = datetime.datetime.now().strftime("%Y_%m_%d_%H%M_hrs_")
+    
+    if base_file_name =='':
+        base_file_name = datetime.datetime.now().strftime('%Y_%m_%d_%H.%M')
+
+    start_time = time.time()  # start of the scan function
+
+    instr_info = query_no_echo(instr, '*IDN?')
+
+    instr_bsettings = list(sep_num_from_units(el) for el in query_no_echo(instr, 'UNITS?;LLIM?;ULIM?').split(';'))  # deliver a 3 element list of lists containing the set unit, llim and ulim 
+
+    if instr_bsettings[0][0] == 'T':
+        instr_bsettings[1][0] = instr_bsettings[1][0]*0.1  # rescale kG to T, device accepts values only in kG or A, eventho we set it to T
+        instr_bsettings[2][0] = instr_bsettings[2][0]*0.1
+
+    # if singlepowersupply_bool:  # checks limits of Bx or By
+    #     if (min_bval< -BY_MAX) or (max_bval > BY_MAX):
+    #         raise ValueError('Input limits exceed that of the magnet By! Please input smaller limits.')
+    # elif '1' in query_no_echo(instr, 'CHAN?'):  # check if its the coils for Bz
+    #     if (min_bval < -BZ_MAX) or (max_bval > BZ_MAX):
+    #         raise ValueError('Input limits exceed that of the magnet (Bz)! Please input smaller limits.')
+    # else:  # checks limits of Bx
+    #     if (min_bval< -BX_MAX) or (max_bval > BX_MAX):
+    #         raise ValueError('Input limits exceed that of the magnet Bx! Please input smaller limits.')
+ 
+    if '2101014' in instr_info and (magnet_coil=='y-axis'):  # single power supply
+        if (min_bval< -BY_MAX) or (max_bval > BY_MAX):
+            raise ValueError('Input limits exceed that of the magnet By! Please input smaller limits.')
+    elif '2301034' in instr_info:  # dual power supply
+        if magnet_coil=='z-axis':  # check if its the coils for Bz
+            if (min_bval < -BZ_MAX) or (max_bval > BZ_MAX):
+                raise ValueError('Input limits exceed that of the magnet (Bz)! Please input smaller limits.')
+            write_no_echo(instr, 'CHAN 1')
+        elif magnet_coil=='x-axis':  # checks limits of Bx
+            if (min_bval< -BX_MAX) or (max_bval > BX_MAX):
+                raise ValueError('Input limits exceed that of the magnet Bx! Please input smaller limits.')
+            write_no_echo(instr, 'CHAN 2')
+    else:
+        raise ConnectionError('Device is not connected!')
+
+    write_no_echo(instr, f'LLIM {min_bval*10};ULIM {max_bval*10}')  # sets the given limits, must convert to kG for the device to read
+    bval_lst = np.arange(min_bval, max_bval + res, res)  # creates list of B values to measure at, with given resolution, in T
+
+    # TODO: unused, see if can remove
+    # init_bval = sep_num_from_units(query_no_echo(instr, 'IMAG?'))[0]*0.1  # queries the initial B value of the coil, rescale from kG to T
+
+    init_lim, subsequent_lim = 'LLIM', 'ULIM'
+    init_sweep, subsequent_sweep = 'DOWN', 'UP'
+    
+    ####################################################
+    # TODO: decide whether to start at min b val or max b val, depending on which one is nearer, IMPLEMENT THIS LATER
+    # nearest_bval = (abs(init_bval - min_bval), abs(init_bval - max_bval))
+    # if nearest_bval[0] <= nearest_bval[1]:
+    #     reversescan_bool = True
+    ####################################################
+    
+    # if reverse scan, then flip the values in the b list, and swap the initial limit and sweep conditions
+    if reversescan_bool:
+        bval_lst = bval_lst[::-1]
+        init_lim, subsequent_lim = subsequent_lim, init_lim
+        init_sweep, subsequent_sweep = subsequent_sweep, init_sweep
+
+    # creates the pyramid list of B vals if one were to perform a hysteresis measurement 
+    if loopscan_bool:
+        bval_lst = pyramid_list(bval_lst)
+
+    total_points = len(bval_lst)
+    middle_index_bval_lst = total_points // 2 
+    intensity_data = []  # To store data from each scan
+    cwd = os.getcwd() # save original directory
+
+    # NOTE: helper function for the scanning loop
+    def helper_scan_func(idx, bval, instr=instr, init_lim=init_lim, init_sweep=init_sweep,
+                         subsequent_lim=subsequent_lim, subsequent_sweep=subsequent_sweep, sleep=5):
+        if idx == 0:  # for first iteration, sweep to one of the limits 
+            write_no_echo(instr, f'{init_lim} {bval*10}')  # convert back to kG
+            write_no_echo(instr, f'SWEEP {init_sweep}')
+        else:
+            write_no_echo(instr, f'{subsequent_lim} {bval*10}')  # convert back to kG
+            write_no_echo(instr, f'SWEEP {subsequent_sweep}')
+
+        actual_bval = sep_num_from_units(query_no_echo(instr, 'IMAG?'))[0]*0.1  # convert kG to T
+        print(f'Actual magnet strength: {actual_bval} T,', f'Target magnet strength: {bval} T')
+
+        while abs(actual_bval - bval) > 0.0001:
+            time.sleep(5)  # little break
+            actual_bval = sep_num_from_units(query_no_echo(instr, 'IMAG?'))[0]*0.1 
+                # update the actual bval
+            print(f'Actual magnet strength: {actual_bval} T,', f'Target magnet strength: {bval} T')
+    
+    #scanning loop
+    for i, bval in enumerate(bval_lst):
+        # if init_bval == bval:
+        #     # if initial bval is equal to the element of the given iteration from the bval_lst, then commence measuring the spectrum
+        #     pass
+        # else:
+
+        # NOTE: original code without the loop scan
+        ################################################
+        # if i == 0:  # for first iteration, sweep to one of the limits 
+        #     write_no_echo(instr, f'{init_lim} {bval*10}')  # convert back to kG
+        #     write_no_echo(instr, f'SWEEP {init_sweep}')
+        # else:
+        #     write_no_echo(instr, f'{subsequent_lim} {bval*10}')  # convert back to kG
+        #     write_no_echo(instr, f'SWEEP {subsequent_sweep}')
+
+        # actual_bval = sep_num_from_units(query_no_echo(instr, 'IMAG?'))[0]*0.1  # convert kG to T
+        # print(f'Actual magnet strength: {actual_bval} T,', f'Target magnet strength: {bval} T')
+
+        # while abs(actual_bval - bval) > 0.0001:
+        #     time.sleep(5)  # little break
+        #     actual_bval = sep_num_from_units(query_no_echo(instr, 'IMAG?'))[0]*0.1 
+        #         # update the actual bval
+        #     print(f'Actual magnet strength: {actual_bval} T,', f'Target magnet strength: {bval} T')
+        ###############################################
+        if not loopscan_bool:
+            helper_scan_func(i, bval)
+        else:
+            if i <= middle_index_bval_lst:
+                helper_scan_func(i, bval)
+            else:
+                helper_scan_func(i, bval, instr=instr, init_lim=subsequent_lim, init_sweep=subsequent_sweep,
+                            subsequent_lim=init_lim, subsequent_sweep=init_sweep, sleep=5)
+        
+        time.sleep(5)
+        # we acquire with the LF 
+        acquire_name_spe = f'{base_file_name}_{bval}T'
+        AcquireAndLock(acquire_name_spe) #this creates a .spe file with the scan name.
+                    
+        # read the .spe file and get the data as loaded_files
+        cwd = os.getcwd() # save original directory
+        os.chdir(temp_folder_path) #change directory
+        loaded_files = sl.load_from_files([acquire_name_spe + '.spe']) # get the .spe file as a variable
+        os.chdir(cwd) # go back to original directory
+        
+        # Delete the created .spe file from acquiring after getting necessary info 
+        spe_file_path = os.path.join(temp_folder_path, acquire_name_spe + '.spe')
+        os.remove(spe_file_path)    
+                                                        
+        points_left = total_points - i - 1  # TODO: SEE IF THIS IS CORRECT
+        print('Points left in the scan: ', points_left)
+        
+        #append the intensity data as it is (so after every #of_wl_points, the spectrum of the next point begins)
+        intensity_data.append(loaded_files.data[0][0][0])
+    
+    #prints total time the mapping lasted
+    end_time = time.time()
+    elapsed_time = (end_time - start_time) / 60
+    print('Scan time: ', elapsed_time, 'minutes')
+
+    write_no_echo(instr, f'LLIM {instr_bsettings[1][0]*10};ULIM {instr_bsettings[2][0]*10}')  # reset the initial limits of the device after the scan
+
+    if zerowhenfin_bool:
+        write_no_echo(instr, 'SWEEP ZERO')  # if switched on, discharges the magnet after performing the measurement loop above
+    
+    #save intensity & WL data as .txt
+    os.chdir('C:/Users/localadmin/Desktop/Users/Lukas')
+    # creates new folder for MAP data
+    new_folder_name = "Test_Map_" + f"{datetime.datetime.now().strftime('%Y_%m_%d_%H.%M')}"
+    os.mkdir(new_folder_name)
+    # Here the things will be saved in a new folder under user Lukas !
+    # IMPORTANT last / has to be there, otherwise data cannot be saved and will be lost!!!!!!!!!!!!!!!!
+    os.chdir('C:/Users/localadmin/Desktop/Users/Lukas/'+ new_folder_name)
+    
+    intensity_data = np.array(intensity_data) 
+    np.savetxt(Settings + str(min_bval) + 'T_to_' + str(max_bval) + 'T' + experiment_name +'.txt', intensity_data)
+            
+    wl = np.array(loaded_files.wavelength)
+    np.savetxt("Wavelength.txt", wl)
+
+
+def polar_to_cartesian(radius, start_angle, end_angle, step_size, clockwise=True):
+    # TODO: DOCS
+    """Creates a list of discrete cartesian coordinates (x,y), given the radius, start- and end angles, the angle step size, and the direction of rotation. 
+    Function then returns a list of two lists: list of angles and list of cartesian coordinates (x,y coordinates in a tuple).
+
+    Args:
+        radius (_type_): _description_
+        start_angle (_type_): _description_
+        end_angle (_type_): _description_
+        step_size (_type_): _description_
+        clockwise (bool, optional): _description_. Defaults to True.
+
+    Returns:
+        _type_: _description_
+    """    """"""
+    # Initialize lists to hold angles and (x, y) pairs
+    angles = []
+    coordinates = []
+
+    # Normalize angles to the range [0, 360)
+    start_angle = start_angle % 360
+    end_angle = end_angle % 360
+
+    if clockwise:
+        # Clockwise rotation
+        current_angle = start_angle
+        while True:
+            # Append the current angle to the angles list
+            angles.append(current_angle % 360)
+
+            # Convert the current angle to radians
+            current_angle_rad = math.radians(current_angle % 360)
+            
+            # Convert polar to Cartesian coordinates
+            x = radius * math.cos(current_angle_rad)
+            y = radius * math.sin(current_angle_rad)
+            
+            # Append the (x, y) pair to the list
+            coordinates.append((x, y))
+
+            # Check if we've reached the end_angle (handling wrap-around)  (current_angle - step_size) % 360 == end_angle or
+            if current_angle % 360 == end_angle:
+                break
+
+            # Decrement the current angle by the step size
+            current_angle -= step_size
+            if current_angle < 0:
+                current_angle += 360
+    else:
+        # Counterclockwise rotation
+        current_angle = start_angle
+        while True:
+            # Append the current angle to the angles list
+            angles.append(current_angle % 360)
+
+            # Convert the current angle to radians
+            current_angle_rad = math.radians(current_angle % 360)
+            
+            # Convert polar to Cartesian coordinates
+            x = radius * math.cos(current_angle_rad)
+            y = radius * math.sin(current_angle_rad)
+            
+            # Append the (x, y) pair to the list
+            coordinates.append((x, y))
+
+            # Check if we've reached the end_angle (handling wrap-around)  (current_angle + step_size) % 360 == end_angle or
+            if current_angle % 360 == end_angle:
+                break
+
+            # Increment the current angle by the step size
+            current_angle += step_size
+            if current_angle >= 360:
+                current_angle -= 360
+
+    return [angles, coordinates]
+
+
+def b_field_rotation(instr1:pyvisa.resources.Resource, instr2:pyvisa.resources.Resource,
+                     Babs:float, startangle:float, endangle:float, angle_stepsize:float, Settings:str, clockwise=True, base_file_name='', zerowhenfin_bool=False)->None:
+    # TODO: update docs
+    """Rotation of the b-field in discrete steps, spectrum is measured at each discrete step in the rotation. Scan angle is 
+    defined as the angle between the x-axis and the current B-field vector, i.e., in the anticlockwise direction.
+
+    Args:
+        instr1 (pyvisa.resources.Resource): _description_
+        instr2 (pyvisa.resources.Resource): _description_
+        Babs (float): absolute B-field value in T
+        startangle (float): start angle in degrees
+        endangle (float): end angle in degrees
+        angle_stepsize (float): angle step size in degrees
+        clockwise (bool): determines the direction of rotation of the B-field. Defaults to True.
+        zerowhenfin_bool (bool, optional): after finishing the rotation, both B-field components should be set to 0 T. Defaults to False.
+    """
+
+    # TODO: possibly rename instr1 and instr2 to the dual and single power supplies respectively??
+    
+    # defines the folder, in which the data from the spectrometer is temporarily stored in
+    temp_folder_path = "C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test"   
+
+    if base_file_name =='':
+        base_file_name = datetime.datetime.now().strftime('%Y_%m_%d_%H.%M')
+
+    start_time = time.time()  # start of the scan function
+
+    startangle = startangle % 360
+    endangle = endangle % 360  # ensures that the angles are within [0,360)
+
+    idnstr1 = query_no_echo(instr1, '*IDN?')
+    idnstr2 = query_no_echo(instr1, '*IDN?')
+
+    intensity_data = []  # To store data from each scan
+    cwd = os.getcwd() # save original directory
+
+    # find which one is the dual power supply, then, ramp B_x to Babs value
+    if '2301034' in idnstr1: # serial no. the dual power supply
+        pass
+    elif '2101034' in idnstr2:
+        # swap instruments, instr 1 to be the dual power supply (^= x-axis)
+        instr1, instr2 = instr2, instr1
+    
+    # save initial low and high sweep limits of each device, and set them back after the rotation 
+    instr1_bsettings = list(sep_num_from_units(el) for el in query_no_echo(instr1, 'UNITS?;LLIM?;ULIM?').split(';'))  # deliver a 3 element tuple of tuples containing the set unit, llim and ulim 
+    instr2_bsettings = list(sep_num_from_units(el) for el in query_no_echo(instr2, 'UNITS?;LLIM?;ULIM?').split(';'))  # deliver a 3 element tuple of tuples containing the set unit, llim and ulim 
+    if instr1_bsettings[0][0] == 'T':
+        instr1_bsettings[1][0] = instr1_bsettings[1][0]*0.1  # rescale kG to T, device accepts values only in kG or A, eventho we set it to T
+        instr1_bsettings[2][0] = instr1_bsettings[2][0]*0.1
+    if instr2_bsettings[0][0] == 'T':
+        instr2_bsettings[1][0] = instr2_bsettings[1][0]*0.1  # rescale kG to T, device accepts values only in kG or A, eventho we set it to T
+        instr2_bsettings[2][0] = instr2_bsettings[2][0]*0.1
+
+    # initialise the sweep angle list as well as the sweep limits and directions for each instrument
+    instr1_lim, instr2_lim = 'LLIM', 'ULIM'
+    instr1_sweep, instr2_sweep = 'DOWN', 'UP'
+
+    # create lists of angles and discrete Cartesian coordinates
+    angles, cartesian_coords = polar_to_cartesian(Babs, startangle, endangle, angle_stepsize, clockwise=clockwise)
+
+    if clockwise:  # NOTE: old conditional was:  startangle > endangle      see if this works....
+        # reverse sweep limits and directions for the clockwise rotation
+        instr1_lim, instr2_lim = instr2_lim, instr1_lim
+        instr1_sweep, instr2_sweep = instr2_sweep, instr1_sweep
+
+    # list of rates (with units) for diff ranges of each device, only up to Range 1 for single power supply as that is already
+    # the max recommended current. 
+    init_range_lst1 = list(sep_num_from_units(el) for el in query_no_echo(instr1, 'RATE? 0;RATE? 1;RATE? 2').split(';'))
+    init_range_lst2 = list(sep_num_from_units(el) for el in query_no_echo(instr2, 'RATE? 0;RATE? 1').split(';'))
+
+    min_range_lst = [min(el1[0], el2[0]) for el1,el2 in zip(init_range_lst1, init_range_lst2)]  # min rates for each given range
+
+    # set both devices to the min rates
+    write_no_echo(instr1, f'RATE 0 {min_range_lst[0]};RATE 1 {min_range_lst[1]}')
+    write_no_echo(instr2, f'RATE 0 {min_range_lst[0]};RATE 1 {min_range_lst[1]}')
+
+    write_no_echo(instr1, f'CHAN 2;ULIM {Babs*10};SWEEP UP')  # sets to B_x, the B_x upper limit and sweeps the magnet field to the upper limit
+    print(f'SWEEPING B-X TO {Babs} T NOW')
+
+    # wait for Babs to be reached by the Bx field
+    actual_bval = sep_num_from_units(query_no_echo(instr1, 'IMAG?'))[0]*0.1  # convert kG to T
+    print(f'Actual magnet strength (Bx): {actual_bval} T,', f'Target magnet strength: {Babs} T')
+    while abs(actual_bval - Babs) > 0.0001:
+        time.sleep(5)  # little break
+        actual_bval = sep_num_from_units(query_no_echo(instr1, 'IMAG?'))[0]*0.1 
+        print(f'Actual magnet strength (Bx): {actual_bval} T,', f'Target magnet strength: {Babs} T')
+
+    # NOTE: implement PID control, possibly best option to manage the b field DO THIS LATER ON, WE DO DISCRETE B VALUES RN
+    # Helper function that listens to a device
+    def listen_to_device(device_id, target_value, shared_values, lock, all_targets_met_event):
+        while not all_targets_met_event.is_set():  # Loop until the event is set
+            # value = 0  # Simulate receiving a float from the device  INSERT QUERY NO ECHO HERE TO ASK FOR DEVICE IMAG
+            if '2301034' in device_id:
+                value = sep_num_from_units(query_no_echo(instr1, 'IMAG?'))[0]*0.1  # convert kG to T
+            elif '2101014' in device_id:
+                value = sep_num_from_units(query_no_echo(instr2, 'IMAG?'))[0]*0.1  # convert kG to T
+            print(f"Device {device_id} reports value: {value} T")
+            
+            with lock:
+                shared_values[device_id] = value
+                # Check if both devices have met their targets
+                if all(shared_values.get(device) is not None and abs(shared_values[device] - target_value[device]) <= 0.0001
+                    for device in shared_values):
+                    print(f"Both devices reached their target values: {shared_values}")
+                    all_targets_met_event.set()  # Signal that both targets are met
+
+            # time.sleep(1)  # Simulate periodic data checking
+
+    # Main function to manage threads and iterate over target values
+    def monitor_devices(device_target_values, angles_lst, intensity_data=intensity_data):  
+        for iteration, target in enumerate(device_target_values):
+            print(f"\nStarting iteration {iteration+1} for target values: {target}")
+            # Shared dictionary to store values from devices
+            shared_values = {device: None for device in target.keys()}
+            # Event to signal when both target values are reached
+            all_targets_met_event = threading.Event()
+
+            # Lock to synchronize access to shared_values
+            lock = threading.Lock()
+
+            # Create and start threads for each device
+            threads = []
+            for device_id in target.keys():
+                thread = threading.Thread(target=listen_to_device, args=(device_id, target, shared_values, lock, all_targets_met_event))
+                threads.append(thread)
+                thread.start()
+
+            # Wait until both devices meet their target values
+            all_targets_met_event.wait()
+            print(f"Both target values for iteration {iteration+1} met. Performing action...")
+
+            # Perform some action after both targets are met 
+            # we acquire with the LF 
+            acquire_name_spe = f'{base_file_name}_{angles_lst[iteration]}°'  # NOTE: save each intensity file with the given angle
+            AcquireAndLock(acquire_name_spe) #this creates a .spe file with the scan name.
+                        
+            # read the .spe file and get the data as loaded_files
+            cwd = os.getcwd() # save original directory
+            os.chdir(temp_folder_path) #change directory
+            loaded_files = sl.load_from_files([acquire_name_spe + '.spe']) # get the .spe file as a variable
+            os.chdir(cwd) # go back to original directory
+            
+            # Delete the created .spe file from acquiring after getting necessary info 
+            spe_file_path = os.path.join(temp_folder_path, acquire_name_spe + '.spe')
+            os.remove(spe_file_path)    
+                                                            
+            # points_left = total_points - i - 1  # TODO: SEE IF THIS IS CORRECT
+            # print('Points left in the scan: ', points_left)
+            
+            #append the intensity data as it is (so after every #of_wl_points, the spectrum of the next point begins)
+            intensity_data.append(loaded_files.data[0][0][0])
+
+            # Clean up threads
+            for thread in threads:
+                thread.join()
+
+            print(f"Threads for iteration {iteration+1} closed.\n")
+        
+        #prints total time the mapping lasted
+        end_time = time.time()
+        elapsed_time = (end_time - start_time) / 60
+        print('Scan time: ', elapsed_time, 'minutes')
+
+        # reset both devices to original sweep limits
+        write_no_echo(instr1, f'LLIM {instr1_bsettings[1][0]*10};ULIM {instr1_bsettings[2][0]*10}')  # reset the initial limits of the device after the scan
+        write_no_echo(instr2, f'LLIM {instr2_bsettings[1][0]*10};ULIM {instr2_bsettings[2][0]*10}')  # reset the initial limits of the device after the scan
+        # reset both devices' initial rates for each range
+        write_no_echo(instr1, f'RANGE 0 {init_range_lst1[0][0]};RANGE 1 {init_range_lst1[1][0]};RANGE 2 {init_range_lst1[2][0]}')  # reset the initial limits of the device after the scan
+        write_no_echo(instr2, f'RANGE 0 {init_range_lst2[0][0]};RANGE 1 {init_range_lst2[1][0]}')  # reset the initial limits of the device after the scan
+
+        if zerowhenfin_bool:
+            write_no_echo(instr1, 'SWEEP ZERO')  # if switched on, discharges the magnet after performing the measurement loop above
+            write_no_echo(instr2, 'SWEEP ZERO')  
+        
+        #save intensity & WL data as .txt
+        os.chdir('C:/Users/localadmin/Desktop/Users/Lukas')
+        # creates new folder for MAP data
+        new_folder_name = "Test_Map_" + f"{datetime.datetime.now().strftime('%Y_%m_%d_%H.%M')}"
+        os.mkdir(new_folder_name)
+        # Here the things will be saved in a new folder under user Lukas !
+        # IMPORTANT last / has to be there, otherwise data cannot be saved and will be lost!!!!!!!!!!!!!!!!
+        os.chdir('C:/Users/localadmin/Desktop/Users/Lukas/'+ new_folder_name)
+        
+        intensity_data = np.array(intensity_data) 
+        np.savetxt(Settings + f'{angles[0]}°_to_{angles[-1]}°' + experiment_name +'.txt', intensity_data)
+        # TODO: remove/edit experiment_name in line above, as well in sweep_b_val func, rn takes a global variable below 
+                
+        wl = np.array(loaded_files.wavelength)
+        np.savetxt("Wavelength.txt", wl)
+
+    # modify cartesian_coords to suite the required data struct in monitor_devices 
+    cartesian_coords = [{'2301034': t[0], '2101014': t[1]} for t in cartesian_coords]
+
+    # call the helper function to carry out the rotation/measurement of spectrum
+    monitor_devices(cartesian_coords, angles, intensity_data)
+
+
+################################################################# END OF FUNCTION DEFS ###########################################################################################  
+
+# NOTE: RYAN INTRODUCED SOME FUNCTIONS HERE TO PERFORM THE SCAN
+
+# Initialise PYVISA ResourceManager
+rm = pyvisa.ResourceManager()
+# print(rm.list_resources())  
+# 'ASRL8::INSTR' for dual power supply, 'ASRL9::INSTR' for single power supply (online PC)
+# 'ASRL10::INSTR' for dual power supply, 'ASRL12::INSTR' for single power supply (offline PC)
+
+
+# Open the connection with the APS100 dual power supply
+powerbox_dualsupply = rm.open_resource('ASRL10::INSTR', 
+                                        baud_rate=9600,
+                                        data_bits=8, 
+                                        parity= pyvisa.constants.Parity.none, 
+                                        stop_bits= pyvisa.constants.StopBits.one, 
+                                        timeout=100)# 5000 ms timeout
+
+# Open the connection with the APS100 dual power supply
+powerbox_singlesupply = rm.open_resource('ASRL12::INSTR',
+                                        baud_rate=9600,
+                                        data_bits=8, 
+                                        parity= pyvisa.constants.Parity.none, 
+                                        stop_bits= pyvisa.constants.StopBits.one, 
+                                        timeout=100)# 5000 ms timeout
+
+write_no_echo(powerbox_dualsupply, 'REMOTE')  # turn on the remote mode
+write_no_echo(powerbox_singlesupply, 'REMOTE')  # turn on the remote mode
+
+# TODO: test functionality of the magnet_coil param later on, should work... as this code below is basically implemented inside the scan func.
+# select axis for the dual supply, either z-axis(CHAN 1 ^= Supply A) or x-axis(CHAN 2 ^= Supply B)
+# write_no_echo(powerbox_dualsupply, 'CHAN 1')
+
+# Setup connection to AMC
+amc = AMC.Device(IP)
+amc.connect()
+
+# Internally, axes are numbered 0 to 2
+amc.control.setControlOutput(0, True)
+amc.control.setControlOutput(1, True)
+
+
+auto = Automation(True, List[String]())
+experiment = auto.LightFieldApplication.Experiment
+acquireCompleted = AutoResetEvent(False)
+
+experiment.Load("Lukas_experiment_2024_02_06")
+experiment.ExperimentCompleted += experiment_completed  # we are hooking a listener.
+# experiment.SetValue(SpectrometerSettings.GratingSelected, '[750nm,1200][0][0]')
+# InitializerFilenameParams()
+
+
+#set scan range and resolution in nanometers
+range_x = 20000
+range_y = 20000
+resolution = 1000
+# set B-field scan range and resolution (all in T)
+set_llim_bval = -0.01
+set_ulim_bval = 0.01
+set_res_bval = 0.01
+
+#Here you can specify the filename of the map e.g. put experiment type, exposure time, used filters, etc....
+experiment_settings = 'PL_SP_700_LP_700_HeNe_52muW_exp_2s_Start_'
+#The program adds the range of the scan as well as the resolution and the date and time of the measurement
+experiment_name = f"{set_llim_bval}T_to_{set_ulim_bval}T_{set_res_bval}T_{datetime.datetime.now().strftime('%Y_%m_%d_%H%M')}"
+
+# this moves the probe in xy-direction and measures spectrum there
+# move_scan_xy(range_x, range_y, resolution, experiment_settings, experiment_name)
+
+# perform the B-field measurement for selected axis above
+# sweep_b_val(powerbox_dualsupply, set_llim_bval, set_ulim_bval, set_res_bval, experiment_settings, experiment_name)
+sweep_b_val(powerbox_dualsupply, set_llim_bval, set_ulim_bval, set_res_bval, 'z-axis',
+            experiment_settings, experiment_name, zerowhenfin_bool=True, reversescan_bool=False)
+
+# Internally, axes are numbered 0 to 2
+
+write_no_echo(powerbox_dualsupply, 'LOCAL')  # turn off the remote mode
+write_no_echo(powerbox_singlesupply, 'LOCAL')  # turn off the remote mode
+# time.sleep(0.5)
+powerbox_dualsupply.close()
+powerbox_singlesupply.close()